1. ”Confusion and clutter are failures of design, not attributes of information.” - Edward R. Tufte

2. On Information

9. Guru: Edward R. Tufte

10. ”Confusion and clutter are failures of design, not attributes of information” Edward R. Tufte

11. Visualizing the editing history of Wikipedia pages - Viégas, Wattenberg & Dave http://www.research.ibm.com/visual/projects/history_flow/ or google “history flow” IBM http://www.research.ibm.com/visual/projects/history_flow/

18. Graphic Tools

36. Choosing data... Show only relevant data –Otherwise: clutter Show only reliable data –Otherwise: distrust Most important data comes first / is more colorful / is larger / etc! Provide several views –Layering data vs not layering it

38. Information Visualization

39. ”The use of computer- supported, interactive, visual representations of abstract data to amplify cognition” - Card, Mackinlay & Shneiderman

40. Zooming and lenses

42. Semantic Zoom When information changes (and typically gets richer) when zooming in.

43. Magic Lenses: Transparent - Different properties - Change view Toolglass and Magic Lenses. Bier, E., et al., 1993

46. The Document Lens G.G.Robertson and J.D.Mackinlay

47. Focus + Context

48. Focus + Context: To display the most important data at the focal point at full size and detail, and display the area around the focal point (the context) to help make sense of how the important information relates to the entire data structure. Regions far from the focal point may be displayed smaller (as in fisheye views) or selectively omitted.

49. Fisheye Views

51. Main issue: Distortion "Well....thanks to the lame ass security, I’m going home!" Axl W Rose, July 2 1991 Riverport Amphitheatre, St. Louis, Missouri,

53. Hyperbolic Geometry

54.  Typically laid out in circles, or onto globes or hemispheres  Focal point in the center  The further from the center the smaller the items  Allows angles or positions to stay constant when changing focus but not both... Hyperbolic geometry

57. Trees

58. Hierarchical tree v. 1

59. Hierarchical tree v.2

60. Disk tree

61. Cone tree...

62. Tree Map – node within node